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Algorithmic Trading

An algorithmic trading system is a software that is used for trading in the stock market.

Papers

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Showing 1–25 of 95 papers

TitleStatusHype
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting—0
ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order BooksCode1
Deep Learning Models Meet Financial Data Modalities—0
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model—0
Entropy-Assisted Quality Pattern Identification in Finance—0
Large language models in finance : what is financial sentiment?—0
Algorithmic Aspects of Strategic Trading—0
FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data—0
A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment—0
A Modern Paradigm for Algorithmic Trading—0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting—0
Generalized Mean Absolute Directional Loss as a Solution to Overfitting and High Transaction Costs in Machine Learning Models Used in High-Frequency Algorithmic Investment Strategies—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
Turnover of investment portfolio via covariance matrix of returns—0
Calculating Profits and Losses for Algorithmic Trading Strategies: A Short Guide—0
Composing Ensembles of Instrument-Model Pairs for Optimizing Profitability in Algorithmic Trading—0
Enhancing literature review with LLM and NLP methods. Algorithmic trading case—0
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning—0
Algorithmic and High-Frequency Trading Problems for Semi-Markov and Hawkes Jump-Diffusion Models—0
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural NetworksCode1
Reinforcement Learning Pair Trading: A Dynamic Scaling approachCode1
A Comprehensive Analysis of Machine Learning Models for Algorithmic Trading of Bitcoin—0
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency TradingCode2
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading—0
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